



'''simple docstring'''

from ....configuration_utils import PretrainedConfig
from ....utils import logging


SCREAMING_SNAKE_CASE__     :						Tuple	=  logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__     :						List[str]	=  {
    '''CarlCochet/trajectory-transformer-halfcheetah-medium-v2''': (
        '''https://huggingface.co/CarlCochet/trajectory-transformer-halfcheetah-medium-v2/resolve/main/config.json'''
    ),
    # See all TrajectoryTransformer models at https://huggingface.co/models?filter=trajectory_transformer
}

class 							a__( snake_case__     ):
			a_	: Union[str, Any]									=      '''trajectory_transformer'''
			a_	: Optional[int]									=      ['''past_key_values''']
			a_	: Dict									=      {
			    '''hidden_size''': '''n_embd''',
			    '''num_attention_heads''': '''n_head''',
			    '''num_hidden_layers''': '''n_layer''',
			}






			def __init__(     self					,   _UpperCAmelCase=100					,   _UpperCAmelCase=5					,   _UpperCAmelCase=1					,   _UpperCAmelCase=1					,   _UpperCAmelCase=249					,   _UpperCAmelCase=6					,   _UpperCAmelCase=17					,   _UpperCAmelCase=25					,   _UpperCAmelCase=4					,   _UpperCAmelCase=4					,   _UpperCAmelCase=128					,   _UpperCAmelCase=0.1					,   _UpperCAmelCase=0.1					,   _UpperCAmelCase=0.1					,   _UpperCAmelCase=0.0_006					,   _UpperCAmelCase=512					,   _UpperCAmelCase=0.02					,   _UpperCAmelCase=1E-12					,   _UpperCAmelCase=1					,   _UpperCAmelCase=True					,   _UpperCAmelCase=1					,   _UpperCAmelCase=5_0256					,   _UpperCAmelCase=5_0256					,   **_UpperCAmelCase					,   )							->							Optional[int]:
					snake_case__	     =vocab_size
					snake_case__	     =action_weight
					snake_case__	     =reward_weight
					snake_case__	     =value_weight
					snake_case__	     =max_position_embeddings
					snake_case__	     =block_size
					snake_case__	     =action_dim
					snake_case__	     =observation_dim
					snake_case__	     =transition_dim
					snake_case__	     =learning_rate
					snake_case__	     =n_layer
					snake_case__	     =n_head
					snake_case__	     =n_embd
					snake_case__	     =embd_pdrop
					snake_case__	     =attn_pdrop
					snake_case__	     =resid_pdrop
					snake_case__	     =initializer_range
					snake_case__	     =layer_norm_eps
					snake_case__	     =kaiming_initializer_range
					snake_case__	     =use_cache
					super().__init__(pad_token_id=_UpperCAmelCase					,   bos_token_id=_UpperCAmelCase					,   eos_token_id=_UpperCAmelCase					,   **_UpperCAmelCase						)









'''simple docstring'''

from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
			if not (is_transformers_available() and is_torch_available() and is_transformers_version('''>=''', '''4.25.0''')):
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			from ...utils.dummy_torch_and_transformers_objects import UnCLIPImageVariationPipeline, UnCLIPPipeline
else:
			from .pipeline_unclip import UnCLIPPipeline
			from .pipeline_unclip_image_variation import UnCLIPImageVariationPipeline
			from .text_proj import UnCLIPTextProjModel




